Search results for "Semantic"

Semantic processing in children with autism spectrum disorder

2021

El presente estudio analizó el procesamiento semántico de un grupo de niños con trastorno del espectro autista (n= 24), con el objetivo principal de averiguar si presentan diferencias en comparación con un grupo de niños con desarrollo típico (n = 24). Para ello, se realizó un análisis del contenido de los ítems del subtest de información del WPPSY-III, estableciendo una serie de categorías en función del tipo de demanda semántica requerida: asociación significante-significado, relación experiencial y conocimiento general. Los resultados obtenidos apoyan la idea de que los niños con autismo realizarían un procesamiento semántico de la información de la misma manera que los niños sin autismo…

Gradazione e linguaggi specialistici

2008

Ontologia, semantica e logiche modali.

2011

Semantics of Voids within Data: Ignorance-Aware Machine Learning

2021

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to buil…

Audiovisual processing of Chinese characters elicits suppression and congruency effects in MEG

2019

Learning to associate written letters/characters with speech sounds is crucial for reading acquisition. Most previous studies have focused on audiovisual integration in alphabetic languages. Less is known about logographic languages such as Chinese characters, which map onto mostly syllable-based morphemes in the spoken language. Here we investigated how long-term exposure to native language affects the underlying neural mechanisms of audiovisual integration in a logographic language using magnetoencephalography (MEG). MEG sensor and source data from 12 adult native Chinese speakers and a control group of 13 adult Finnish speakers were analyzed for audiovisual suppression (bimodal responses…

Adding ‘Sense’ to Conceptual Modeling : An Interdisciplinary Approach

2019

In this paper, our aim is to widen the prevailing foundations of conceptual modeling theories and practices, particularly in the context of information systems development. The approach shifts the focus from the link between a model and the modelled reality to the link between human cognition and the model. Our approach combines theoretical issues of different disciplines relevant to conceptual modeling. We shall make an explicit distinction between individual conceptions and interpersonal concepts and show how this distinction could be utilized to have conceptual models of a better consistency. We wish that this article could also serve as a starting point for a profound scientific discuss…

Music mood annotation using semantic computing and machine learning

2015

Attitudes towards varieties of the english language and their speakers held by finnish students

1999

2019

A role for backward transitional probabilities in word segmentation?

2008

A number of studies have shown that people exploit transitional probabilities between successive syllables to segment a stream of artificial continuous speech into words. It is often assumed that what is actually exploited are the forward transitional probabilities (given XY, the probability that X will be followed by Y ), even though the backward transitional probabilities (the probability that Y has been preceded by X) were equally informative about word structure in the languages involved in those studies. In two experiments, we showed that participants were able to learn the words from an artificial speech stream when the only available cues were the backward transitional probabilities.…